GCP + Kubernetes Engineer

Years of experience required

5+

Required Qualifications

• Strong experience with Kubernetes and GCP (GKE)
• Strong experience in IaC (Terraform), Helm, and GitHub Actions
• Proficiency in Python, Ansible, Node.js
• Strong experience with Prometheus and Grafana observability stack
• Solid understanding of Linux systems and networking fundamentals
• Experience in incident management, on-call support, and production triage
• Hands-on experience with automation and CI/CD pipelines
• Strong understanding of AI/ML concepts and AIOps practices (model lifecycle, monitoring, or AI-driven alerting)

Preferred Qualifications

• Google Cloud Architect Certification
• Certified Kubernetes Administrator (CKA)
• Experience in Java/J2EE, Spring Boot
• Experience supporting or operating ML/AI platforms or pipelines (MLOps)
• Exposure to AIOps tools, anomaly detection, or predictive analytics systems
• Experience with large-scale distributed systems and microservices architecture
• Experience with GPU-based workloads or ML infrastructure on GCP
• Knowledge of Kubeflow, Vertex AI, or ML pipelines